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Vesco KK, Denoble AE, Lipkind HS, Kharbanda EO, DeSilva MB, Daley MF, Getahun D, Zerbo O, Naleway AL, Jackson L, Williams JTB, Boyce TG, Fuller CC, Weintraub ES, Vazquez-Benitez G. Obstetric Complications and Birth Outcomes After Antenatal Coronavirus Disease 2019 (COVID-19) Vaccination. Obstet Gynecol 2024; 143:794-802. [PMID: 38626447 PMCID: PMC11090513 DOI: 10.1097/aog.0000000000005583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/01/2024] [Accepted: 03/07/2024] [Indexed: 04/18/2024]
Abstract
OBJECTIVE To evaluate the association between antenatal messenger RNA (mRNA) coronavirus disease 2019 (COVID-19) vaccination and risk of adverse pregnancy outcomes. METHODS This was a retrospective cohort study of individuals with singleton pregnancies with live deliveries between June 1, 2021, and January 31, 2022, with data available from eight integrated health care systems in the Vaccine Safety Datalink. Vaccine exposure was defined as receipt of one or two mRNA COVID-19 vaccine doses (primary series) during pregnancy. Outcomes were preterm birth (PTB) before 37 weeks of gestation, small-for-gestational age (SGA) neonates, gestational diabetes mellitus (GDM), gestational hypertension, and preeclampsia-eclampsia-HELLP (hemolysis, elevated liver enzymes, and low platelet count) syndrome. Outcomes in individuals vaccinated were compared with those in propensity-matched individuals with unexposed pregnancies. Adjusted hazard ratios (aHRs) and 95% CIs were estimated for PTB and SGA using a time-dependent covariate Cox model, and adjusted relative risks (aRRs) were estimated for GDM, gestational hypertension, and preeclampsia-eclampsia-HELLP syndrome using Poisson regression with robust variance. RESULTS Among 55,591 individuals eligible for inclusion, 23,517 (42.3%) received one or two mRNA COVID-19 vaccine doses during pregnancy. Receipt of mRNA COVID-19 vaccination varied by maternal age, race, Hispanic ethnicity, and history of COVID-19. Compared with no vaccination, mRNA COVID-19 vaccination was associated with a decreased risk of PTB (rate: 6.4 [vaccinated] vs 7.7 [unvaccinated] per 100, aHR 0.89; 95% CI, 0.83-0.94). Messenger RNA COVID-19 vaccination was not associated with SGA (8.3 vs 7.4 per 100; aHR 1.06, 95% CI, 0.99-1.13), GDM (11.9 vs 10.6 per 100; aRR 1.00, 95% CI, 0.90-1.10), gestational hypertension (10.8 vs 9.9 per 100; aRR 1.08, 95% CI, 0.96-1.22), or preeclampsia-eclampsia-HELLP syndrome (8.9 vs 8.4 per 100; aRR 1.10, 95% CI, 0.97-1.24). CONCLUSION Receipt of an mRNA COVID-19 vaccine during pregnancy was not associated with an increased risk of adverse pregnancy outcomes; this information will be helpful for patients and clinicians when considering COVID-19 vaccination in pregnancy.
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Affiliation(s)
- Kimberly K Vesco
- Kaiser Permanente Center for Health Research, Portland, Oregon; the Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut; the Department of Obstetrics & Gynecology, Weill Cornell Medicine, New York, New York; HealthPartners Institute, Bloomington, Minnesota; the Institute for Health Research, Kaiser Permanente Colorado, and Ambulatory Care Services, Denver Health, Denver, Colorado; Kaiser Permanente Southern California, Pasadena, and the Kaiser Permanente Vaccine Study Center, Oakland, California; the Kaiser Permanente Washington Health Research Institute, Seattle, Washington; the Marshfield Clinic Research Institute, Marshfield, Wisconsin; the Harvard Pilgrim Health Care Institute, Boston, Massachusetts; and the Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
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Williams JTB, Kurlandsky K, Breslin K, Durfee MJ, Stein A, Hurley L, Shoup JA, Reifler LM, Daley MF, Lewin BJ, Goddard K, Henninger ML, Nelson JC, Vazquez-Benitez G, Hanson KE, Fuller CC, Weintraub ES, McNeil MM, Hambidge SJ. Attitudes Toward COVID-19 Vaccines Among Pregnant and Recently Pregnant Individuals. JAMA Netw Open 2024; 7:e245479. [PMID: 38587844 PMCID: PMC11002697 DOI: 10.1001/jamanetworkopen.2024.5479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 02/09/2024] [Indexed: 04/09/2024] Open
Abstract
Importance Pregnant people and infants are at high risk of severe COVID-19 outcomes. Understanding changes in attitudes toward COVID-19 vaccines among pregnant and recently pregnant people is important for public health messaging. Objective To assess attitudinal trends regarding COVID-19 vaccines by (1) vaccination status and (2) race, ethnicity, and language among samples of pregnant and recently pregnant Vaccine Safety Datalink (VSD) members from 2021 to 2023. Design, Setting, and Participants This cross-sectional surveye study included pregnant or recently pregnant members of the VSD, a collaboration of 13 health care systems and the US Centers for Disease Control and Prevention. Unvaccinated, non-Hispanic Black, and Spanish-speaking members were oversampled. Wave 1 took place from October 2021 to February 2022, and wave 2 took place from November 2022 to February 2023. Data were analyzed from May 2022 to September 2023. Exposures Self-reported or electronic health record (EHR)-derived race, ethnicity, and preferred language. Main Outcomes and Measures Self-reported vaccination status and attitudes toward monovalent (wave 1) or bivalent Omicron booster (wave 2) COVID-19 vaccines. Sample- and response-weighted analyses assessed attitudes by vaccination status and 3 race, ethnicity, and language groupings of interest. Results There were 1227 respondents; all identified as female, the mean (SD) age was 31.7 (5.6) years, 356 (29.0%) identified as Black race, 555 (45.2%) identified as Hispanic ethnicity, and 445 (36.3%) preferred the Spanish language. Response rates were 43.5% for wave 1 (652 of 1500 individuals sampled) and 39.5% for wave 2 (575 of 1456 individuals sampled). Respondents were more likely than nonrespondents to be White, non-Hispanic, and vaccinated per EHR. Overall, 76.8% (95% CI, 71.5%-82.2%) reported 1 or more COVID-19 vaccinations; Spanish-speaking Hispanic respondents had the highest weighted proportion of respondents with 1 or more vaccination. Weighted estimates of somewhat or strongly agreeing that COVID-19 vaccines are safe decreased from wave 1 to 2 for respondents who reported 1 or more vaccinations (76% vs 50%; χ21 = 7.8; P < .001), non-Hispanic White respondents (72% vs 43%; χ21 = 5.4; P = .02), and Spanish-speaking Hispanic respondents (76% vs 53%; χ21 = 22.8; P = .002). Conclusions and Relevance Decreasing confidence in COVID-19 vaccine safety in a large, diverse pregnant and recently pregnant insured population is a public health concern.
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Affiliation(s)
- Joshua T. B. Williams
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
| | - Kate Kurlandsky
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Kristin Breslin
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - M. Joshua Durfee
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Amy Stein
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Laura Hurley
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
| | - Jo Ann Shoup
- Institute for Health Research, Kaiser Permanente Colorado, Aurora
| | - Liza M. Reifler
- Institute for Health Research, Kaiser Permanente Colorado, Aurora
| | - Matthew F. Daley
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
- Institute for Health Research, Kaiser Permanente Colorado, Aurora
| | | | | | | | | | | | | | - Candace C. Fuller
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Eric S. Weintraub
- Immunization Safety Office, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Michael M. McNeil
- Immunization Safety Office, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Simon J. Hambidge
- Ambulatory Care Services, Denver Health and Hospitals, Denver, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
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Fuller CC, Rosen E, Rai A, Cosgrove A, Miller K, Bright P, Haffenreffer K, Poland RE, Pratt N, Sands K, Shinde MU, Platt R, Cocoros NM, Klompas M, Dutcher SK. Validity of inpatient electronic health record-based measures of oxygen-related therapy in the United States: Lessons applicable for studying COVID-19 endpoints. Pharmacoepidemiol Drug Saf 2024; 33:e5785. [PMID: 38565526 DOI: 10.1002/pds.5785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 03/04/2024] [Accepted: 03/14/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION During the COVID-19 pandemic, inpatient electronic health records (EHRs) have been used to conduct public health surveillance and assess treatments and outcomes. Invasive mechanical ventilation (MV) and supplemental oxygen (O2) use are markers of severe illness in hospitalized COVID-19 patients. In a large US system (n = 142 hospitals), we assessed documentation of MV and O2 use during COVID-19 hospitalization in administrative data versus nursing documentation. METHODS We identified 319 553 adult hospitalizations with a COVID-19 diagnosis, February 2020-October 2022, and extracted coded, administrative data for MV or O2. Separately, we developed classification rules for MV or O2 supplementation from semi-structured nursing documentation. We assessed MV and O2 supplementation in administrative data versus nursing documentation and calculated ordinal endpoints of decreasing COVID-19 disease severity. Nursing documentation was considered the gold standard in sensitivity and positive predictive value (PPV) analyses. RESULTS In nursing documentation, the prevalence of MV and O2 supplementation among COVID-19 hospitalizations was 14% and 75%, respectively. The sensitivity of administrative data was 83% for MV and 41% for O2, with both PPVs above 91%. Concordance between sources was 97% for MV (κ = 0.85), and 54% for O2 (κ = 0.21). For ordinal endpoints, administrative data accurately identified intensive care and MV but underestimated hospitalizations with O2 requirements (42% vs. 18%). CONCLUSIONS In comparison to nursing documentation, administrative data under-ascertained O2 supplementation but accurately estimated severe endpoints such as MV. Nursing documentation improved ascertainment of O2 among COVID-19 hospitalizations and can capture oxygen requirements in adults hospitalized with COVID-19 or other respiratory illnesses.
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Affiliation(s)
- Candace C Fuller
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Edward Rosen
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Ashish Rai
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Austin Cosgrove
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | | | - Patricia Bright
- United States Food and Drug Administration, Silver Spring, Maryland, USA
| | - Katherine Haffenreffer
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Russell E Poland
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- HCA Healthcare, Nashville, Tennessee, USA
| | - Natasha Pratt
- United States Food and Drug Administration, Silver Spring, Maryland, USA
| | - Kenneth Sands
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- HCA Healthcare, Nashville, Tennessee, USA
| | - Mayura U Shinde
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Richard Platt
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Noelle M Cocoros
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Michael Klompas
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Sarah K Dutcher
- United States Food and Drug Administration, Silver Spring, Maryland, USA
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Vazquez-Benitez G, Haapala JL, Lipkind HS, DeSilva MB, Zhu J, Daley MF, Getahun D, Klein NP, Vesco KK, Irving SA, Nelson JC, Williams JTB, Hambidge SJ, Donahue J, Fuller CC, Weintraub ES, Olson C, Kharbanda EO. COVID-19 Vaccine Safety Surveillance in Early Pregnancy in the United States: Design Factors Affecting the Association Between Vaccine and Spontaneous Abortion. Am J Epidemiol 2023; 192:1386-1395. [PMID: 36928091 PMCID: PMC10466212 DOI: 10.1093/aje/kwad059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/21/2022] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
In the Vaccine Safety Datalink (VSD), we previously reported no association between coronavirus disease 2019 (COVID-19) vaccination in early pregnancy and spontaneous abortion (SAB). The present study aims to understand how time since vaccine rollout or other methodological factors could affect results. Using a case-control design and generalized estimating equations, we estimated the odds ratios (ORs) of COVID-19 vaccination in the 28 days before a SAB or last date of the surveillance period (index date) in ongoing pregnancies and occurrence of SAB, across cumulative 4-week periods from December 2020 through June 2021. Using data from a single site, we evaluated alternative methodological approaches: increasing the exposure window to 42 days, modifying the index date from the last day to the midpoint of the surveillance period, and constructing a cohort design with a time-dependent exposure model. A protective effect (OR = 0.78, 95% confidence interval: 0.69, 0.89), observed with 3-cumulative periods ending March 8, 2021, was attenuated when surveillance extended to June 28, 2021 (OR = 1.02, 95% confidence interval: 0.96, 1.08). We observed a lower OR for a 42-day window compared with a 28-day window. The time-dependent model showed no association. Timing of the surveillance appears to be an important factor affecting the observed vaccine-SAB association.
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Affiliation(s)
- Gabriela Vazquez-Benitez
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Jacob L. Haapala
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Heather S. Lipkind
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Malini B. DeSilva
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Jingyi Zhu
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Matthew F. Daley
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Darios Getahun
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Nicola P. Klein
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Kimberly K. Vesco
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Stephanie A. Irving
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Jennifer C. Nelson
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Joshua T. B. Williams
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Simon J. Hambidge
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - James Donahue
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Candace C. Fuller
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Eric S. Weintraub
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Christine Olson
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Elyse O. Kharbanda
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
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5
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Fuller CC, Cosgrove A, Shinde M, Rosen E, Haffenreffer K, Hague C, McLean LE, Perlin J, Poland RE, Sands KE, Pratt N, Bright P, Platt R, Cocoros NM, Dutcher SK. Treatment and care received by children hospitalized with COVID-19 in a large hospital network in the United States, February 2020 to September 2021. PLoS One 2023; 18:e0288284. [PMID: 37432951 DOI: 10.1371/journal.pone.0288284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 06/22/2023] [Indexed: 07/13/2023] Open
Abstract
We described care received by hospitalized children with COVID-19 or multi-system inflammatory syndrome (MIS-C) prior to the 2021 COVID-19 Omicron variant surge in the US. We identified hospitalized children <18 years of age with a COVID-19 or MIS-C diagnosis (COVID-19 not required), separately, from February 2020-September 2021 (n = 126 hospitals). We described high-risk conditions, inpatient treatments, and complications among these groups. Among 383,083 pediatric hospitalizations, 2,186 had COVID-19 and 395 had MIS-C diagnosis. Less than 1% had both COVID-19 and MIS-C diagnosis (n = 154). Over half were >6 years old (54% COVID-19, 70% MIS-C). High-risk conditions included asthma (14% COVID-19, 11% MIS-C), and obesity (9% COVID-19, 10% MIS-C). Pulmonary complications in children with COVID-19 included viral pneumonia (24%) and acute respiratory failure (11%). In reference to children with COVID-19, those with MIS-C had more hematological disorders (62% vs 34%), sepsis (16% vs 6%), pericarditis (13% vs 2%), myocarditis (8% vs 1%). Few were ventilated or died, but some required oxygen support (38% COVID-19, 45% MIS-C) or intensive care (42% COVID-19, 69% MIS-C). Treatments included: methylprednisolone (34% COVID-19, 75% MIS-C), dexamethasone (25% COVID-19, 15% MIS-C), remdesivir (13% COVID-19, 5% MIS-C). Antibiotics (50% COVID-19, 68% MIS-C) and low-molecular weight heparin (17% COVID-19, 34% MIS-C) were frequently administered. Markers of illness severity among hospitalized children with COVID-19 prior to the 2021 Omicron surge are consistent with previous studies. We report important trends on treatments in hospitalized children with COVID-19 to improve the understanding of real-world treatment patterns in this population.
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Affiliation(s)
- Candace C Fuller
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Austin Cosgrove
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Mayura Shinde
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Edward Rosen
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Katie Haffenreffer
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Christian Hague
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Laura E McLean
- HCA Healthcare, Nashville, Tennessee, United States of America
| | - Jonathan Perlin
- HCA Healthcare, Nashville, Tennessee, United States of America
| | - Russell E Poland
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
- HCA Healthcare, Nashville, Tennessee, United States of America
| | - Kenneth E Sands
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
- HCA Healthcare, Nashville, Tennessee, United States of America
| | - Natasha Pratt
- US Food and Drug Administration, Silver Spring, Maryland, United States of America
| | - Patricia Bright
- US Food and Drug Administration, Silver Spring, Maryland, United States of America
| | - Richard Platt
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Noelle M Cocoros
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Sarah K Dutcher
- US Food and Drug Administration, Silver Spring, Maryland, United States of America
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6
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DeSilva MB, Haapala J, Vazquez-Benitez G, Boyce TG, Fuller CC, Daley MF, Getahun D, Hambidge SJ, Lipkind HS, Naleway AL, Nelson JC, Vesco KK, Weintraub ES, Williams JTB, Zerbo O, Kharbanda EO. Medically Attended Acute Adverse Events in Pregnant People After Coronavirus Disease 2019 (COVID-19) Booster Vaccination. Obstet Gynecol 2023:00006250-990000000-00772. [PMID: 37167612 DOI: 10.1097/aog.0000000000005241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/27/2023] [Indexed: 05/13/2023]
Abstract
In this multisite, observational, matched cohort study of more than 80,000 pregnant people, receipt of an mRNA monovalent coronavirus disease 2019 (COVID-19) booster vaccination in pregnancy was not associated with increased risk for thrombocytopenia, myocarditis, venous thromboembolism, ischemic stroke, or other serious adverse events within 21 or 42 days after booster vaccination. The mRNA monovalent COVID-19 booster in pregnancy was associated with an increased risk for medically attended malaise or fatigue within 7 days of vaccination (adjusted rate ratio [aRR] 3.64, 95% CI 2.42-5.48) and lymphadenopathy or lymphadenitis within 21 days (aRR 3.25, 95% CI 1.67-6.30) or 42 days (aRR 2.18, 95% CI 1.33-3.58) of vaccination. Our findings are consistent with prior evaluations of the primary COVID-19 vaccine series and are reassuring with respect to COVID-19 booster vaccination in pregnancy.
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Affiliation(s)
- Malini B DeSilva
- HealthPartners Institute, Bloomington, Minnesota; the Marshfield Clinic Research Institute, Marshfield, Wisconsin; the Harvard Pilgrim Health Care Institute, Boston, Massachusetts; the Institute for Health Research, Kaiser Permanente Colorado, and Ambulatory Care Services and the Center for Health Systems Research, Denver Health, Denver, Colorado; Kaiser Permanente Southern California, Pasadena, and the Kaiser Permanente Vaccine Study Center, Oakland, California; Weill Cornell-Medicine, New York, New York; the Kaiser Permanente Center for Health Research, Portland, Oregon; Kaiser Permanente Washington, Seattle, Washington; and the Immunization Safety Office, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia
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7
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DeSilva M, Haapala J, Vazquez-Benitez G, Vesco KK, Daley MF, Getahun D, Zerbo O, Naleway A, Nelson JC, Williams JTB, Hambidge SJ, Boyce TG, Fuller CC, Lipkind HS, Weintraub E, McNeil MM, Kharbanda EO. Evaluation of Acute Adverse Events after Covid-19 Vaccination during Pregnancy. N Engl J Med 2022; 387:187-189. [PMID: 35731916 PMCID: PMC9258750 DOI: 10.1056/nejmc2205276] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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8
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Zerbo O, Modaressi S, Goddard K, Lewis E, Getahun D, Palmsten KK, Fuller CC, Crane B, Donahue JG, Daley MF, Jackson LA, Wodi AP, McNeil MM, Klein NP. Safety of Live-Attenuated Vaccines in Children Exposed to Biologic Response Modifiers in Utero. Pediatrics 2022; 150:188259. [PMID: 35773517 DOI: 10.1542/peds.2021-056021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/21/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Ousseny Zerbo
- Division of Research, Vaccine Study Center, Kaiser Permanente Northern California, Oakland, California
| | - Sharareh Modaressi
- Division of Research, Vaccine Study Center, Kaiser Permanente Northern California, Oakland, California
| | - Kristin Goddard
- Division of Research, Vaccine Study Center, Kaiser Permanente Northern California, Oakland, California
| | - Edwin Lewis
- Division of Research, Vaccine Study Center, Kaiser Permanente Northern California, Oakland, California
| | - Darios Getahun
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | | | - Candace C Fuller
- Department of Population Medicine, Harvard Medical School and the Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Bradley Crane
- The Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | - James G Donahue
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | - Matthew F Daley
- Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
| | - Lisa A Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | | | - Michael M McNeil
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Nicola P Klein
- Division of Research, Vaccine Study Center, Kaiser Permanente Northern California, Oakland, California
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9
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Fuller CC, Cosgrove A, Sands K, Miller KM, Poland RE, Rosen E, Sorbello A, Francis H, Orr R, Dutcher SK, Measer GT, Cocoros NM. Using inpatient electronic medical records to study influenza for pandemic preparedness. Influenza Other Respir Viruses 2022; 16:265-275. [PMID: 34697904 PMCID: PMC8818824 DOI: 10.1111/irv.12921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 09/25/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND We assessed the ability to identify key data relevant to influenza and other respiratory virus surveillance in a large-scale US-based hospital electronic medical record (EMR) dataset using seasonal influenza as a use case. We describe characteristics and outcomes of hospitalized influenza cases across three seasons. METHODS We identified patients with an influenza diagnosis between March 2017 and March 2020 in 140 US hospitals as part of the US FDA's Sentinel System. We calculated descriptive statistics on the presence of high-risk conditions, influenza antiviral administrations, and severity endpoints. RESULTS Among 5.1 million hospitalizations, we identified 29,520 hospitalizations with an influenza diagnosis; 64% were treated with an influenza antiviral within 2 days of admission, and 25% were treated >2 days after admission. Patients treated >2 days after admission had more comorbidities than patients treated within 2 days of admission. Patients never treated during hospitalization had more documentation of cardiovascular and other diseases than treated patients. We observed more severe endpoints in patients never treated (death = 3%, mechanical ventilation [MV] = 9%, intensive care unit [ICU] = 26%) or patients treated >2 days after admission (death = 2%, MV = 14%, ICU = 32%) than in patients treated earlier (treated on admission: death = 1%, MV = 5%, ICU = 23%, treated within 2 days of admission: death = 1%, MV = 7%, ICU = 27%). CONCLUSIONS We identified important trends in influenza severity related to treatment timing in a large inpatient dataset, laying the groundwork for the use of this and other inpatient EMR data for influenza and other respiratory virus surveillance.
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Affiliation(s)
- Candace C. Fuller
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
| | - Austin Cosgrove
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
| | - Kenneth Sands
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
- HCA HealthcareNashvilleTennesseeUSA
| | | | - Russell E. Poland
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
- HCA HealthcareNashvilleTennesseeUSA
| | - Edward Rosen
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
| | - Alfred Sorbello
- United States Food and Drug AdministrationSilver SpringMarylandUSA
| | - Henry Francis
- United States Food and Drug AdministrationSilver SpringMarylandUSA
| | - Robert Orr
- United States Food and Drug AdministrationSilver SpringMarylandUSA
| | - Sarah K. Dutcher
- United States Food and Drug AdministrationSilver SpringMarylandUSA
| | - Gregory T. Measer
- At the time of the project, Gregory Measer was with the United States Food and Drug AdministrationSilver SpringMarylandUSA
| | - Noelle M. Cocoros
- Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
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10
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Lipkind HS, Vazquez-Benitez G, DeSilva M, Vesco KK, Ackerman-Banks C, Zhu J, Boyce TG, Daley MF, Fuller CC, Getahun D, Irving SA, Jackson LA, Williams JT, Zerbo O, McNeil MM, Olson CK, Weintraub E, Kharbanda EO. Receipt of COVID-19 Vaccine During Pregnancy and Preterm or Small-for-Gestational-Age at Birth - Eight Integrated Health Care Organizations, United States, December 15, 2020-July 22, 2021. MMWR Morb Mortal Wkly Rep 2022; 71:26-30. [PMID: 34990445 PMCID: PMC8735559 DOI: 10.15585/mmwr.mm7101e1] [Citation(s) in RCA: 124] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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11
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Marx GE, Fuller CC, Haug N, Martin D, Corey C, Beck A, Schwartz AM, Hinckley AF. 153. Utilization of Post-Exposure Prophylaxis to Prevent Lyme Disease in a Large US Healthcare Database. Open Forum Infect Dis 2021. [PMCID: PMC8645022 DOI: 10.1093/ofid/ofab466.355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background In the United States, at least 50,000 emergency department visits for tick bite and an estimated 476,000 Lyme disease diagnoses occur annually, with incidence of both high among children. The majority of these healthcare visits occur in the northeastern and midwestern states having high Lyme disease incidence and during the summer and fall months, corresponding to peak opportunities for exposure to blacklegged ticks. Post-exposure prophylaxis (PEP) with a single dose of doxycycline can effectively prevent Lyme disease after a tick bite that is high risk for transmission of Lyme disease. We describe characteristics of patients with dispensings of single-dose doxycycline in a large US-based system that includes patients enrolled in private and public health insurance plans. Methods Single-dose doxycycline (≤200 mg) dispensings during January 2009 – February 2020 were identified for patients enrolled in seven Data Partners that contributed electronic healthcare data to the Food and Drug Administration Sentinel Distributed Database, including large national insurers, an integrated delivery care network, a state Medicaid, and the 100% Medicare fee-for-service plan. We examined patient and PEP dispensing characteristics by patient age, state of residence, and month of dispensing. Results We identified 408,897 patients with PEP (n=474,414 total dispensings) with a mean age of 60 years at first dispensing. Overall, there were 21 patients per 10,000 eligible members with PEP dispensings. Dispensings were less common in children (< 1 and 4 patients per 10,000 eligible members aged < 8 and 8-18 years, respectively). Most dispensings (72%) occurred in states with high incidence of Lyme disease. Seasonality of dispensings was bimodal, with most occurring during April – July and October – November (71 – 83%, by year). Conclusion Lyme disease PEP was relatively common and mirrored geographic and seasonal trends observed for ED visits for tick bites and Lyme disease diagnoses. However, we observed more PEP among older adults, and few dispensings among children. Despite healthcare visits for tick bites and Lyme disease occurring disproportionately among pediatric age groups, PEP appears to be underutilized in children. Disclosures All Authors: No reported disclosures
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Affiliation(s)
- Grace E Marx
- Centers for Disease Control and Prevention, Fort Collins, Colorado
| | - Candace C Fuller
- Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Nicole Haug
- Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Dave Martin
- StatLog Econometrics, Inc., Québec City, Quebec, Canada
| | | | - Alyssa Beck
- Centers for Disease Control and Prevention, Fort Collins, Colorado
| | - Amy M Schwartz
- Centers for Disease Control and Prevention, Fort Collins, Colorado
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12
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Cocoros NM, Fuller CC, Adimadhyam S, Ball R, Brown JS, Dal Pan GJ, Kluberg SA, Lo Re V, Maro JC, Nguyen M, Orr R, Paraoan D, Perlin J, Poland RE, Driscoll MR, Sands K, Toh S, Yih WK, Platt R. A COVID-19-ready public health surveillance system: The Food and Drug Administration's Sentinel System. Pharmacoepidemiol Drug Saf 2021; 30:827-837. [PMID: 33797815 PMCID: PMC8250843 DOI: 10.1002/pds.5240] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/25/2021] [Accepted: 03/26/2021] [Indexed: 12/15/2022]
Abstract
The US Food and Drug Administration's Sentinel System was established in 2009 to use routinely collected electronic health data for improving the national capability to assess post‐market medical product safety. Over more than a decade, Sentinel has become an integral part of FDA's surveillance capabilities and has been used to conduct analyses that have contributed to regulatory decisions. FDA's role in the COVID‐19 pandemic response has necessitated an expansion and enhancement of Sentinel. Here we describe how the Sentinel System has supported FDA's response to the COVID‐19 pandemic. We highlight new capabilities developed, key data generated to date, and lessons learned, particularly with respect to working with inpatient electronic health record data. Early in the pandemic, Sentinel developed a multi‐pronged approach to support FDA's anticipated data and analytic needs. It incorporated new data sources, created a rapidly refreshed database, developed protocols to assess the natural history of COVID‐19, validated a diagnosis‐code based algorithm for identifying patients with COVID‐19 in administrative claims data, and coordinated with other national and international initiatives. Sentinel is poised to answer important questions about the natural history of COVID‐19 and is positioned to use this information to study the use, safety, and potentially the effectiveness of medical products used for COVID‐19 prevention and treatment.
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Affiliation(s)
- Noelle M Cocoros
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Candace C Fuller
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Sruthi Adimadhyam
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Robert Ball
- US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Jeffrey S Brown
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | | | - Sheryl A Kluberg
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Vincent Lo Re
- Division of Infectious Diseases, Department of Medicine, and Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Judith C Maro
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Michael Nguyen
- US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Robert Orr
- US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Dianne Paraoan
- US Food and Drug Administration, Silver Spring, Maryland, USA
| | | | - Russell E Poland
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.,HCA Healthcare, Nashville, Tennessee, USA
| | - Meighan Rogers Driscoll
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Kenneth Sands
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.,HCA Healthcare, Nashville, Tennessee, USA
| | - Sengwee Toh
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - W Katherine Yih
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Richard Platt
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
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13
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Fuller CC, Nambudiri VE, Spencer-Smith C, Curtis LH, Shinde M, Cosgrove A, Johnson M, Hickok J, Honda S, Ismail H, Kaufman RM, Kennedy A, Miller KM, Mohlman DJ, Poland RE, Rosofsky R, Smith K, Surani SR, Baker MA. Medical chart validation of inpatient diagnosis codes for transfusion-related acute lung injury 2013-2015. Transfusion 2021; 61:754-766. [PMID: 33506519 DOI: 10.1111/trf.16251] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 11/20/2020] [Accepted: 12/14/2020] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Transfusion-related acute lung injury (TRALI), an adverse event occurring during or within 6 hours of transfusion, is a leading cause of transfusion-associated fatalities reported to the US Food and Drug Administration. There is limited information on the validity of diagnosis codes for TRALI recorded in inpatient electronic medical records (EMRs). STUDY DESIGNS AND METHODS We conducted a validation study to establish the positive predictive value (PPV) of TRALI International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes recorded within a large hospital system between 2013 and 2015. A physician with critical care expertise confirmed the TRALI diagnosis. As TRALI is likely underdiagnosed, we used the specific code (518.7), and codes for respiratory failure (518.82) in combination with transfusion reaction (999.80, 999.89, E934.7). RESULTS Among almost four million inpatient stays, we identified 208 potential TRALI cases with ICD-9-CM codes and reviewed 195 medical records; 68 (35%) met clinical definitions for TRALI (26 [38%] definitive, 15 [22%] possible, 27 [40%] delayed). Overall, the PPV for all inpatient TRALI diagnoses was 35% (95% confidence interval (CI), 28-42). The PPV for the TRALI-specific code was 44% (95% CI, 35-54). CONCLUSION We observed low PPVs (<50%) for TRALI ICD-9-CM diagnosis codes as validated by medical charts, which may relate to inconsistent code use, incomplete medical records, or other factors. Future studies using TRALI diagnosis codes in EMR databases may consider confirming diagnoses with medical records, assessing TRALI ICD, Tenth Revision, Clinical Modification codes, or exploring alternative ways for of accurately identifying TRALI in EMR databases. KEY POINTS In 169 hospitals, we identified 208 potential TRALI cases, reviewed 195 charts, and confirmed 68 (35%) cases met TRALI clinical definitions. As many potential TRALI cases identified with diagnosis codes did not meet clinical definitions, medical record confirmation may be prudent.
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Affiliation(s)
- Candace C Fuller
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | | | | | - Lesley H Curtis
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Mayura Shinde
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Austin Cosgrove
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Margaret Johnson
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | | | | | - Heba Ismail
- University of California, Riverside, California, USA
| | - Richard Max Kaufman
- Brigham and Women's Hospital Adult Transfusion Service, Harvard Medical School Boston, Boston, Massachusetts, USA
| | - Adee Kennedy
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | | | | | - Russell E Poland
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.,HCA Healthcare, Nashville, Tennessee, USA
| | - Robert Rosofsky
- Health Information Systems Consulting, Milton, Massachusetts, USA
| | | | - Salim R Surani
- Texas A&M University, Health Science Center, College of Medicine, Bryan, Texas, USA
| | - Meghan A Baker
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
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14
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Fuller CC, Hua W, Leonard CE, Mosholder A, Carnahan R, Dutcher S, King K, Petrone AB, Rosofsky R, Shockro LA, Young J, Min JY, Binswanger I, Boudreau D, Griffin MR, Adgent MA, Kuntz J, McMahill-Walraven C, Pawloski PA, Ball R, Toh S. Developing a Standardized and Reusable Method to Link Distributed Health Plan Databases to the National Death Index: Methods Development Study Protocol. JMIR Res Protoc 2020; 9:e21811. [PMID: 33136063 PMCID: PMC7669437 DOI: 10.2196/21811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/04/2020] [Accepted: 08/11/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Certain medications may increase the risk of death or death from specific causes (eg, sudden cardiac death), but these risks may not be identified in premarket randomized trials. Having the capacity to examine death in postmarket safety surveillance activities is important to the US Food and Drug Administration's (FDA) mission to protect public health. Distributed networks of electronic health plan databases used by the FDA to conduct multicenter research or medical product safety surveillance studies often do not systematically include death or cause-of-death information. OBJECTIVE This study aims to develop reusable, generalizable methods for linking multiple health plan databases with the Centers for Disease Control and Prevention's National Death Index Plus (NDI+) data. METHODS We will develop efficient administrative workflows to facilitate multicenter institutional review board (IRB) review and approval within a distributed network of 6 health plans. The study will create a distributed NDI+ linkage process that avoids sharing of identifiable patient information between health plans or with a central coordinating center. We will develop standardized criteria for selecting and retaining NDI+ matches and methods for harmonizing linked information across multiple health plans. We will test our processes within a use case comprising users and nonusers of antiarrhythmic medications. RESULTS We will use the linked health plan and NDI+ data sets to estimate the incidences and incidence rates of mortality and specific causes of death within the study use case and compare the results with reported estimates. These comparisons provide an opportunity to assess the performance of the developed NDI+ linkage approach and lessons for future studies requiring NDI+ linkage in distributed database settings. This study is approved by the IRB at Harvard Pilgrim Health Care in Boston, MA. Results will be presented to the FDA at academic conferences and published in peer-reviewed journals. CONCLUSIONS This study will develop and test a reusable distributed NDI+ linkage approach with the goal of providing tested NDI+ linkage methods for use in future studies within distributed data networks. Having standardized and reusable methods for systematically obtaining death and cause-of-death information from NDI+ would enhance the FDA's ability to assess mortality-related safety questions in the postmarket, real-world setting. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/21811.
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Affiliation(s)
- Candace C Fuller
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, United States
| | - Wei Hua
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Charles E Leonard
- Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics Perelman School of Medicine,, University of Pennsylvania, Philadelphia, PA, United States
| | - Andrew Mosholder
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Ryan Carnahan
- University of Iowa, College of Public Health, Iowa City, IA, United States
| | - Sarah Dutcher
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Katelyn King
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, United States
| | - Andrew B Petrone
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, United States
| | - Robert Rosofsky
- Health Information Systems Consulting, Milton, MA, United States
| | - Laura A Shockro
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, United States
| | - Jessica Young
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, United States
| | | | | | - Denise Boudreau
- Kaiser Permanente Washington Health Research Institute and University of Washington, Seattle, WA, United States
| | | | | | - Jennifer Kuntz
- Kaiser Permanente Northwest, Portland, OR, United States
| | | | | | - Robert Ball
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Sengwee Toh
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, United States
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15
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Carnahan RM, Gagne JJ, Hampp C, Leonard CE, Toh S, Fuller CC, Hennessy S, Hou L, Cocoros NM, Panucci G, Woodworth T, Cosgrove A, Iyer A, Chrischilles EA. Evaluation of the US Food and Drug Administration Sentinel Analysis Tools Using a Comparator with a Different Indication: Comparing the Rates of Gastrointestinal Bleeding in Warfarin and Statin Users. Pharmaceut Med 2020; 33:29-43. [PMID: 31933271 DOI: 10.1007/s40290-018-00265-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The US Food and Drug Administration's Sentinel System was established to monitor safety of regulated medical products. Sentinel investigators identified known associations between drugs and adverse events to test reusable analytic tools developed for Sentinel. This test case used a comparator with a different indication. OBJECTIVE We tested the ability of Sentinel's reusable analytic tools to identify the known association between warfarin and gastrointestinal bleeding (GIB). Statins, expected to have no effect on GIB, were the comparator. We further explored the impact of analytic features, including matching ratio and stratifying Cox regression analyses, on matched pairs. METHODS This evaluation included data from 14 Sentinel Data Partners. New users of warfarin and statins, aged 18 years and older, who had not received other anticoagulants or had recent GIB were matched on propensity score using 1:1 and 1:n variable ratio matching, matching statin users with warfarin users to estimate the average treatment effect in warfarin-treated patients. We compared the risk of GIB using Cox proportional hazards regression, following patients for the duration of their observed continuous treatment or until a GIB. For the 1:1 matched cohort, we conducted analyses with and without stratification on matched pair. The variable ratio matched cohort analysis was stratified on the matched set. RESULTS We identified 141,398 new users of warfarin and 2,275,694 new users of statins. In analyses stratified on matched pair/set, the hazard ratios (HR) for GIB in warfarin users compared with statin users were 2.78 (95% confidence interval [CI] 2.36-3.28) in the 1:1 matched cohort and 3.10 (95% CI 2.76-3.49) in the variable ratio matched cohort. The HR was lower in the analysis of the 1:1 matched cohort not stratified by matched pair (2.22, 95% CI 1.97-2.49), and highest early in treatment. Follow-up for warfarin users tended to be shorter than for statin users. CONCLUSIONS This study identified the expected GIB risk with warfarin compared with statins using an analytic tool developed for Sentinel. Our findings suggest that comparators with different indications may be useful in surveillance in select circumstances. Finally, in the presence of differential censoring, stratification by matched pair may reduce the potential for bias in Cox regression analyses.
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Affiliation(s)
- Ryan M Carnahan
- Department of Epidemiology, College of Public Health, University of Iowa, 145 N. Riverside Dr., S437 CPHB, Iowa City, IA, 52242, USA.
| | - Joshua J Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Christian Hampp
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Charles E Leonard
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sengwee Toh
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Candace C Fuller
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Sean Hennessy
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Laura Hou
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Noelle M Cocoros
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Genna Panucci
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Tiffany Woodworth
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Austin Cosgrove
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Aarthi Iyer
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Elizabeth A Chrischilles
- Department of Epidemiology, College of Public Health, University of Iowa, 145 N. Riverside Dr., S437 CPHB, Iowa City, IA, 52242, USA
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16
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Cain DJ, Croteau MN, Fuller CC. Competitive interactions among H, Cu, and Zn ions moderate aqueous uptake of Cu and Zn by an aquatic insect. Environ Pollut 2019; 255:113220. [PMID: 31546121 DOI: 10.1016/j.envpol.2019.113220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 09/05/2019] [Accepted: 09/07/2019] [Indexed: 06/10/2023]
Abstract
The absorption of aqueous copper (Cu) and zinc (Zn) by aquatic insects, a group widely used to assess water quality, is unresolved. This study examined interactions among Cu, Zn, and protons that potentially moderate Cu and Zn uptake by the acid-tolerant stonefly Zapada sp. Saturation uptake kinetics were imposed to identify competitive mechanisms. Decreasing pH reduced the maximum transport capacity, Jmax, in both metals, had little effect on the Cu dissociation constant, KD, and increased the Zn KD. Partial noncompetitive (Cu) and partial mixed competitive (Zn) inhibitor models most closely tracked the observed Cu and Zn influx rates across pH treatments. The estimated values for acid dissociation constants for the binary (proton-receptor) and ternary (proton-metal-receptor) complexes indicated the strong inhibitory effect of protons on Cu and Zn. In neutral pH water, Cu inhibited Zn influx, but Zn had little effect on Cu influx. The mechanism of Cu-Zn interaction was not identified. Results from separate Zn experiments suggested that the insect's developmental stage may affect the apparent Jmax. The study underscores some of the challenges of modeling metal bioaccumulation and informs future research directions.
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Affiliation(s)
- D J Cain
- U.S. Geological Survey, Menlo Park, CA, 94025, USA.
| | - M-N Croteau
- U.S. Geological Survey, Menlo Park, CA, 94025, USA
| | - C C Fuller
- U.S. Geological Survey, Menlo Park, CA, 94025, USA
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17
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Swain RS, Taylor LG, Woodworth TS, Fuller CC, Petrone AB, Menzin TJ, Haug NR, Toh S, Mosholder AD. Overall and cause‐specific mortality in the Sentinel system: A power analysis. Pharmacoepidemiol Drug Saf 2018; 27:1416-1421. [DOI: 10.1002/pds.4692] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 09/24/2018] [Accepted: 10/01/2018] [Indexed: 12/12/2022]
Affiliation(s)
- Richard S. Swain
- Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology Food and Drug Administration Silver Spring Maryland USA
| | - Lockwood G. Taylor
- Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology Food and Drug Administration Silver Spring Maryland USA
| | - Tiffany S. Woodworth
- Department of Population Medicine, Harvard Pilgrim Health Care Institute Harvard Medical School Boston Massachusetts USA
| | - Candace C. Fuller
- Department of Population Medicine, Harvard Pilgrim Health Care Institute Harvard Medical School Boston Massachusetts USA
| | - Andrew B. Petrone
- Department of Population Medicine, Harvard Pilgrim Health Care Institute Harvard Medical School Boston Massachusetts USA
| | - Talia J. Menzin
- Department of Population Medicine, Harvard Pilgrim Health Care Institute Harvard Medical School Boston Massachusetts USA
| | - Nicole R. Haug
- Department of Population Medicine, Harvard Pilgrim Health Care Institute Harvard Medical School Boston Massachusetts USA
| | - Sengwee Toh
- Department of Population Medicine, Harvard Pilgrim Health Care Institute Harvard Medical School Boston Massachusetts USA
| | - Andrew D. Mosholder
- Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology Food and Drug Administration Silver Spring Maryland USA
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18
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Lakshminarayan K, Westberg S, Northuis C, Fuller CC, Ikramuddin F, Ezzeddine M, Scherber J, Speedie S. A mHealth-based care model for improving hypertension control in stroke survivors: Pilot RCT. Contemp Clin Trials 2018; 70:24-34. [PMID: 29763657 PMCID: PMC6317360 DOI: 10.1016/j.cct.2018.05.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 05/03/2018] [Accepted: 05/10/2018] [Indexed: 11/26/2022]
Abstract
PURPOSE Hypertension (HTN) is significantly under-treated in stroke survivors. We examined usability and efficacy of a mHealth -based care model for improving post-stroke HTN control (Funding: AHRQ R21HS021794). METHODS We used a RCT design. Planned study duration was 90 days. Intervention arm (IA) participants measured their BP daily using a smart phone and wireless BP monitor. This was transmitted automatically to the study database. Investigators (Physician + PharmD) made bi-weekly medication adjustments to achieve the BP goal. Control arm (CA) participants received a digital BP monitor and usual care. We examined Usability (measured with Marshfield System Usability Survey) and HTN control efficacy using an ITT (intent-to-treat) and as-treated (AT) analyses. RESULTS Fifty participants (IA = 28; CA = 22) completed the study. The Marshfield survey question, "I thought the system was easy to use" mean score was 4.6, (5 = strongly agree). Mean SBP declined significantly between enrollment and study completion in the IA. In ITT, IA SBP declined 9.88 mm, p = 0.005. In AT, IA SBP declined 10.81 mm, p = 0.0036. CA SBP decline was 5-6 mm Hg (not significant). In the ITT, baseline HTN control (SBP < 140 mm Hg) was 50% in IA and CA. At study completion, HTN was controlled in 82% (23/28) of IA and 64% (14/22) of CA (p = 0.14). In the AT, HTN was controlled in 89% (23/26) of IA and 58% (14/24) of CA, (p = 0.015). CONCLUSION A mHealth-based HTN care model had excellent usability and provided better HTN control than usual care in stroke survivors. CLINICAL TRIAL gov: NCT01875094.
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Affiliation(s)
- Kamakshi Lakshminarayan
- Division of Epidemiology & Community Health, University of Minnesota, School of Public Health, United States.
| | - Sarah Westberg
- Department of Pharmaceutical Care and Health Systems, University of Minnesota, College of Pharmacy, United States
| | - Carin Northuis
- Division of Epidemiology & Community Health, University of Minnesota, School of Public Health, United States
| | - Candace C Fuller
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, United States
| | - Farah Ikramuddin
- Department of Rehabilitation Medicine, University of Minnesota, United States
| | | | - Julie Scherber
- Department of Medicine, University of Minnesota, United States
| | - Stuart Speedie
- Institute for Health Informatics, University of Minnesota, United States
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19
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Ammann EM, Schweizer ML, Robinson JG, Eschol JO, Kafa R, Girotra S, Winiecki SK, Fuller CC, Carnahan RM, Leonard CE, Haskins C, Garcia C, Chrischilles EA. Chart validation of inpatient ICD-9-CM administrative diagnosis codes for acute myocardial infarction (AMI) among intravenous immune globulin (IGIV) users in the Sentinel Distributed Database. Pharmacoepidemiol Drug Saf 2018; 27:398-404. [PMID: 29446185 DOI: 10.1002/pds.4398] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Revised: 12/08/2017] [Accepted: 01/02/2018] [Indexed: 11/06/2022]
Abstract
BACKGROUND The Sentinel Distributed Database (SDD) is a large database of patient-level administrative health care records, primarily derived from insurance claims and electronic health records, and is sponsored by the US Food and Drug Administration for medical product safety evaluations. Acute myocardial infarction (AMI) is a common study endpoint for drug safety studies that rely on health records from the SDD and other administrative databases. PURPOSE In this chart validation study, we report on the positive predictive value (PPV) of inpatient International Classification of Diseases, Ninth Revision, Clinical Modification AMI administrative diagnosis codes (410.x1 and 410.x0) in the SDD. METHODS As part of an assessment of thromboembolic adverse event risk following treatment with intravenous immune globulin, charts were obtained for 103 potential post-intravenous immune globulin AMI cases. Charts were abstracted by trained nurses and physician-adjudicated based on prespecified diagnostic criteria. RESULTS Acute myocardial infarction status could be determined for 89 potential cases. The PPVs for the inpatient AMI diagnoses recorded in the SDD were 75% overall (95% CI, 65-84%), 93% (95% CI, 78-99%) for principal-position diagnoses, 88% (95% CI, 72-97%) for secondary diagnoses, and 38% (95% CI, 20-59%) for position-unspecified diagnoses (eg, diagnoses originating from separate physician claims associated with an inpatient stay). Of the confirmed AMI cases, demand ischemia was the suspected etiology more often for those coded in secondary or unspecified positions (72% and 40%, respectively) than for principal-position AMI diagnoses (21%). CONCLUSIONS The PPVs for principal and secondary AMI diagnoses were high and similar to estimates from prior chart validation studies. Position-unspecified diagnosis codes were less likely to represent true AMI cases.
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Affiliation(s)
- Eric M Ammann
- College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Marin L Schweizer
- Iowa City VA Health Care System, Iowa City, IA, USA.,University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Jennifer G Robinson
- College of Public Health, University of Iowa, Iowa City, IA, USA.,University of Iowa Hospitals and Clinics, Iowa City, IA, USA.,Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | | | - Rami Kafa
- University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Saket Girotra
- University of Iowa Hospitals and Clinics, Iowa City, IA, USA.,Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Scott K Winiecki
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Candace C Fuller
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ryan M Carnahan
- College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Charles E Leonard
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Cole Haskins
- College of Public Health, University of Iowa, Iowa City, IA, USA.,Carver College of Medicine, University of Iowa, Iowa City, IA, USA.,Medical Scientist Training Program, University of Iowa, Iowa City, IA, USA
| | - Crystal Garcia
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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20
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Ammann EM, Cuker A, Carnahan RM, Perepu US, Winiecki SK, Schweizer ML, Leonard CE, Fuller CC, Garcia C, Haskins C, Chrischilles EA. Chart validation of inpatient International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) administrative diagnosis codes for venous thromboembolism (VTE) among intravenous immune globulin (IGIV) users in the Sentinel Distributed Database. Medicine (Baltimore) 2018; 97:e9960. [PMID: 29465588 PMCID: PMC5841980 DOI: 10.1097/md.0000000000009960] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The Sentinel Distributed Database (SDD) is a database of patient administrative healthcare records, derived from insurance claims and electronic health records, sponsored by the US Food and Drug Administration for evaluation of medical product outcomes. There is limited information on the validity of diagnosis codes for acute venous thromboembolism (VTE) in the SDD and administrative healthcare data more generally.In this chart validation study, we report on the positive predictive value (PPV) of inpatient administrative diagnosis codes for acute VTE-pulmonary embolism (PE) or lower-extremity or site-unspecified deep vein thrombosis (DVT)-within the SDD. As part of an assessment of thromboembolic adverse event risk following treatment with intravenous immune globulin (IGIV), charts were obtained for 75 potential VTE cases, abstracted, and physician-adjudicated.VTE status was determined for 62 potential cases. PPVs for lower-extremity DVT and/or PE were 90% (95% CI: 73-98%) for principal-position diagnoses, 80% (95% CI: 28-99%) for secondary diagnoses, and 26% (95% CI: 11-46%) for position-unspecified diagnoses (originating from physician claims associated with an inpatient stay). Average symptom onset was 1.5 days prior to hospital admission (range: 19 days prior to 4 days after admission).PPVs for principal and secondary VTE discharge diagnoses were similar to prior study estimates. Position-unspecified diagnoses were less likely to represent true acute VTE cases.
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Affiliation(s)
| | - Adam Cuker
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Usha S. Perepu
- Carver College of Medicine, University of Iowa
- University of Iowa Hospitals and Clinics
| | - Scott K. Winiecki
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland
| | - Marin L. Schweizer
- Carver College of Medicine, University of Iowa
- Iowa City VA Health Care System
| | - Charles E. Leonard
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Candace C. Fuller
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Crystal Garcia
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Cole Haskins
- College of Public Health
- Carver College of Medicine, University of Iowa
- Medical Scientist Training Program, University of Iowa, Iowa City, Iowa
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21
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Ammann EM, Leira EC, Winiecki SK, Nagaraja N, Dandapat S, Carnahan RM, Schweizer ML, Torner JC, Fuller CC, Leonard CE, Garcia C, Pimentel M, Chrischilles EA. Chart validation of inpatient ICD-9-CM administrative diagnosis codes for ischemic stroke among IGIV users in the Sentinel Distributed Database. Medicine (Baltimore) 2017; 96:e9440. [PMID: 29384925 PMCID: PMC6392785 DOI: 10.1097/md.0000000000009440] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 11/08/2017] [Accepted: 12/01/2017] [Indexed: 01/25/2023] Open
Abstract
The Sentinel Distributed Database (SDD) is a large database of patient-level medical and prescription records, primarily derived from insurance claims and electronic health records, and is sponsored by the U.S. Food and Drug Administration for drug safety assessments. In this chart validation study, we report on the positive predictive value (PPV) of inpatient ICD-9-CM acute ischemic stroke (AIS) administrative diagnosis codes (433.x1, 434.xx, and 436) in the SDD.As part of an assessment of the risk of thromboembolic adverse events following treatment with intravenous immune globulin (IGIV), charts were obtained for 131 potential post-IGIV AIS cases. Charts were abstracted by trained nurses and then adjudicated by stroke experts using pre-specified diagnostic criteria.Case status could be determined for 128 potential AIS cases, of which 34 were confirmed. The PPVs for the inpatient AIS diagnoses recorded in the SDD were 27% overall [95% confidence interval (95% CI): 19-35], 60% (95% CI: 32-84) for principal-position diagnoses, 42% (95% CI: 28-57) for secondary diagnoses, and 6% (95% CI: 2-15) for position-unspecified diagnoses (which in the SDD generally originate from separate physician claims associated with an inpatient stay).Position-unspecified diagnoses were unlikely to represent true AIS cases. PPVs for principal and secondary inpatient diagnosis codes were higher, but still meaningfully lower than estimates from prior chart validation studies. The low PPVs may be specific to the IGIV user study population. Additional research is needed to assess the validity of AIS administrative diagnosis codes in other study populations within the SDD.
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Affiliation(s)
- Eric M. Ammann
- College of Public Health, University of Iowa, Iowa City, IA
| | - Enrique C. Leira
- College of Public Health, University of Iowa, Iowa City, IA
- Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Scott K. Winiecki
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD
| | | | | | | | - Marin L. Schweizer
- Carver College of Medicine, University of Iowa, Iowa City, IA
- Iowa City VA Health Care System, Iowa City, IA
| | | | - Candace C. Fuller
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Charles E. Leonard
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Crystal Garcia
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Madelyn Pimentel
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
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22
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Connolly JG, Wang SV, Fuller CC, Toh S, Panozzo CA, Cocoros N, Zhou M, Gagne JJ, Maro JC. Development and application of two semi-automated tools for targeted medical product surveillance in a distributed data network. CURR EPIDEMIOL REP 2017; 4:298-306. [PMID: 29204333 DOI: 10.1007/s40471-017-0121-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Purpose of Review An important component of the Food and Drug Administration's Sentinel Initiative is the active post-market risk identification and analysis (ARIA) system, which utilizes semi-automated, parameterized computer programs to implement propensity-score adjusted and self-controlled risk interval designs to conduct targeted surveillance of medical products in the Sentinel Distributed Database. In this manuscript, we review literature relevant to the development of these programs and describe their application within the Sentinel Initiative. Recent Findings These quality-checked and publicly available tools have been successfully used to conduct rapid, replicable, and targeted safety analyses of several medical products. In addition to speed and reproducibility, use of semi-automated tools allows investigators to focus on decisions regarding key methodological parameters. We also identified challenges associated with the use of these methods in distributed and prospective datasets like the Sentinel Distributed Database, namely uncertainty regarding the optimal approach to estimating propensity scores in dynamic data among data partners of heterogeneous size. Summary Future research should focus on the methodological challenges raised by these applications as well as developing new modular programs for targeted surveillance of medical products.
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Affiliation(s)
- John G Connolly
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School Boston, MA
| | - Shirley V Wang
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School Boston, MA
| | - Candace C Fuller
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Sengwee Toh
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Catherine A Panozzo
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Noelle Cocoros
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Meijia Zhou
- Center for Clinical Epidemiology and Biostatistics, Pereleman School of Medicine at the University of Pennsylvania, Philadelphia, PA.,Center for Pharmacoepidemiology Research and Training, University of Pennsylvania Pereleman School of Medicine, Philadelphia, PA
| | - Joshua J Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School Boston, MA
| | - Judith C Maro
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
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Lakshminarayan K, Berger AK, Fuller CC, Jacobs DR, Anderson DC, Steffen LM, Sillah A, Luepker RV. Trends in 10-year survival of patients with stroke hospitalized between 1980 and 2000: the Minnesota stroke survey. Stroke 2014; 45:2575-81. [PMID: 25028450 DOI: 10.1161/strokeaha.114.005512] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE We report on trends in poststroke survival, both in the early period after stroke and over the long term. We examine these trends by stroke subtype. METHODS The Minnesota Stroke Survey is a study of all hospitalized patients with acute stroke aged 30 to 74 years in the Minneapolis-St Paul metropolis. Validated stroke events were sampled for survey years 1980, 1985, 1990, 1995, and 2000 and subtyped as ischemic or hemorrhagic by neuroimaging for survey years 1990, 1995, and 2000. Survival was obtained by linkage to vital statistics data through the year 2010. RESULTS There were 3773 acute stroke events. Age-adjusted 10-year survival improved from 1980 to 2000 (men 29.5% and 46.5%; P<0.0001; women 32.6% and 50.5%; P<0.0001). Ten-year ischemic stroke survival (n=1667) improved from 1990 to 2000 (men 35.3% and 50%; P=0.0001; women 38% and 55.3%; P<0.0001). Ten-year hemorrhagic stroke survival showed a trend toward improvement, but this (n=489) did not reach statistical significance, perhaps because of their smaller number (men 29.7% and 45.8%; P=0.06; women 39.2% and 49.6%; P=0.2). Markers of stroke severity including unconsciousness or major neurological deficits at admission declined from 1980 to 2000 while neuroimaging use increased. CONCLUSIONS These poststroke survival trends are likely because of multiple factors, including more sensitive case ascertainment shifting the case mix toward less severe strokes, improved stroke care and risk factor management, and overall improvements in population health and longevity.
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Affiliation(s)
- Kamakshi Lakshminarayan
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.).
| | - Alan K Berger
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.)
| | - Candace C Fuller
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.)
| | - David R Jacobs
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.)
| | - David C Anderson
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.)
| | - Lyn M Steffen
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.)
| | - Arthur Sillah
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.)
| | - Russell V Luepker
- From the Division of Epidemiology and Community, School of Public Health (K.L., D.R.J., L.M.S., R.V.L.), Department of Medicine, Division of Interventional Cardiology (A.K.B.), and Department of Neurology, Medical School (D.C.A.), University of Minnesota, Minneapolis; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA (C.C.F.); and Division of Applied Research, Allina Health, Minneapolis, MN (A.S.)
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Abstract
Eating in table-service restaurants has been implicated as a risk factor for Escherichia coli O157:H7 infection. To explore this association and learn about the prevalence of risky ground beef preparation practices in restaurants, the Environmental Health Specialists Network (EHS-Net) assessed ground beef handling policies and practices in restaurants in California, Colorado, Connecticut, Georgia, Minnesota, New York, Oregon, and Tennessee. Eligible restaurants prepared and served hamburgers. EHS-Net specialists interviewed a restaurant employee with authority over the kitchen (defined as the manager) using a standard questionnaire about food safety policies, hamburger preparation policies, and use of irradiated ground beef. Interviews were followed by observations of ground beef preparation. Data from 385 restaurants were analyzed: 67% of the restaurants were independently owned and 33% were chain restaurants; 75% of the restaurants were sit down, 19% were quick service or fast food, and 6% were cafeteria or buffet restaurants. Eighty-one percent of restaurants reported determining doneness of hamburgers by one or more subjective measures, and 49% reported that they never measure the final cook temperatures of hamburgers. At least two risky ground beef handling practices were observed in 53% of restaurants. Only 1% of restaurants reported purchasing irradiated ground beef, and 29% were unfamiliar with irradiated ground beef. Differences in risky ground beef handling policies and practices were noted for type of restaurant ownership (independently owned versus chain) and type of food service style (sit down versus quick service or fast food). This study revealed the pervasiveness of risky ground beef handling policies and practices in restaurants and the need for educational campaigns targeting food workers and managers. These results highlight the importance of continued efforts to reduce the prevalence of E. coli O157:H7 in ground beef.
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Affiliation(s)
- April K Bogard
- Environmental Health Division, Minnesota Department of Health, P.O. Box 64975, St. Paul, Minnesota 55164-0975, USA.
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25
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Lakshminarayan K, Rostambeigi N, Fuller CC, Peacock JM, Tsai AW. Impact of an electronic medical record-based clinical decision support tool for dysphagia screening on care quality. Stroke 2012; 43:3399-401. [PMID: 23033346 DOI: 10.1161/strokeaha.112.662536] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Dysphagia screening (DS) before oral intake in patients with acute stroke is a hospital-level performance measure. We report outcomes of an initiative to improve compliance to this quality measure. METHODS The design was a pre- versus postintervention comparison study. The Intervention was an electronic medical record-based clinical DS system embedded within stroke admission orders. The clinical DS was designed to facilitate DS in patients with stroke. The primary outcome was compliance to a process measure in patients with ischemic stroke: performance of a swallow screen before oral intake. RESULTS DS measure compliance increased from 36% to 74% (P=0.001). Chart audits found screened patients were more likely to have clinical DS-embedded admission orders initiated or stroke unit admission. CONCLUSIONS The electronic medical record offers a ready platform for clinical DS implementation. DS is a difficult performance measure to improve. The described clinical DS has the potential for improving performance on this challenging care quality measure.
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Affiliation(s)
- Kamakshi Lakshminarayan
- Department of Neurology, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA.
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26
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Fuller CC, Jawahir SL, Leano FT, Bidol SA, Signs K, Davis C, Holmes Y, Morgan J, Teltow G, Jones B, Sexton RB, Davis GL, Braden CR, Patel NJ, Deasy MP, Smith KE. A multi-state Salmonella Typhimurium outbreak associated with frozen vacuum-packed rodents used to feed snakes. Zoonoses Public Health 2008; 55:481-7. [PMID: 18833597 DOI: 10.1111/j.1863-2378.2008.01118.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
From December 2005 through January 2006, the Minnesota Department of Health (MDH) identified four human clinical isolates of Salmonella Typhimurium that were indistinguishable by pulsed-field gel electrophoresis (PFGE). During routine interviews, three of the cases reported attending the same junior high school and two handled snakes in the science classroom. MDH collected environmental samples from the school's science classroom for Salmonella culturing; these included environmental samples and frozen vacuum-packed mice purchased over the internet to feed the classroom snakes. Through PulseNet, a national molecular subtyping surveillance network for enteric bacteria, 21 human S. Typhimurium isolates with indistinguishable PFGE patterns were identified in the United States since December 2005. Each state determined whether these human cases had recent exposure to snakes fed vacuum-packed rodents. Texas state officials conducted tracebacks of the vacuum-packed mice and collected samples at the breeding facility. Nineteen of 21 cases were interviewed, and seven reported contact with frozen vacuum-packed rodents from the same internet-based supplier in Texas. In Minnesota, the outbreak PFGE subtype of S. Typhimurium was isolated from the snakes, frozen feed rodents, and the classroom environment. Three human cases were identified in Michigan, Pennsylvania, and Wyoming. The outbreak PFGE subtype of S. Typhimurium was isolated from the Pennsylvania case's frozen rodents and the Michigan case's pet snake. The outbreak PFGE subtype of S. Typhimurium was also isolated from the supplier's rodent facility. This was a S. Typhimurium outbreak associated with frozen rodents. Human transmission likely occurred through direct contact with snakes and contaminated environmental surfaces. This report represents the second recent multi-state salmonellosis outbreak associated with commercially distributed rodents. Stronger oversight of the commercial rodent industry is warranted.
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Affiliation(s)
- C C Fuller
- Minnesota Department of Health, Acute Disease Investigation and Control Section, St. Paul, MN 55164, USA.
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27
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Lee KM, McReynolds JL, Fuller CC, Jones B, Herrman TJ, Byrd JA, Runyon M. Investigation and characterization of the frozen feeder rodent industry in Texas following a multi-state Salmonella Typhimurium outbreak associated with frozen vacuum-packed rodents. Zoonoses Public Health 2008; 55:488-96. [PMID: 18811909 DOI: 10.1111/j.1863-2378.2008.01165.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A multi-state outbreak investigation of Salmonella Typhimurim cases associated with pet snakes and the frozen vacuum-packed rodents used to feed them identified a Texas frozen feeder rodent facility (Supplier A) as the source of the Salmonella-infected frozen rodents. Texas authorities collected samples directly from Supplier A. Seven Salmonella-positive samples out of 49 environmental swabs were found and one adult mouse out of 88 frozen feeder rodents was Salmonella-positive by culture. No Salmonella strains were isolated from rodent feeds. The pulsed-field gel electrophoresis (PFGE) subtype patterns of S. Typhimurium isolates from feeder rodent and environment samples were indistinguishable from the outbreak strain isolated from humans. A follow-up investigation was performed on all additional feeder rodent facilities identified in Texas. Salmonella was isolated at one of four facilities; seven of 100 rodent samples were positive for Salmonella at this facility. The serotype S. I 4,[5],12:i:- was isolated from seven feeder rodent samples, and PFGE patterns of the seven isolates were indistinguishable. As observed in the initial outbreak investigation, no Salmonella were cultured from rodent feeds at any of the facilities. The feeder rodent industry is an insufficiently recognized industry in the United States. Outbreak investigation and testing of additional feeder rodent facilities in Texas indicate that further evaluation of feeder rodent facilities as a source of Salmonella for pet snakes and humans is warranted.
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Affiliation(s)
- K M Lee
- Office of the Texas State Chemist, Texas Agricultural Experiment Station, College Station, TX 77841-3160, USA
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28
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Webb SM, Fuller CC, Tebo BM, Bargar JR. Determination of uranyl incorporation into biogenic manganese oxides using x-ray absorption spectroscopy and scattering. Environ Sci Technol 2006; 40:771-7. [PMID: 16509317 DOI: 10.1021/es051679f] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Biogenic manganese oxides are common and an important source of reactive mineral surfaces in the environment that may be potentially enhanced in bioremediation cases to improve natural attenuation. Experiments were performed in which the uranyl ion, UO2(2+) (U(VI)), at various concentrations was present during manganese oxide biogenesis. At all concentrations, there was strong uptake of U onto the oxides. Synchrotron-based extended X-ray absorption fine structure (EXAFS) spectroscopy and X-ray diffraction (XRD) studies were carried out to determine the molecular-scale mechanism by which uranyl is incorporated into the oxide and how this incorporation affects the resulting manganese oxide structure and mineralogy. The EXAFS experiments show that at low concentrations (<0.3 mol % U, <1 microM U(VI) in solution), U(VI) is present as a strong bidentate surface complex. At high concentrations (>2 mol % U, >4 microM U(VI) in solution), the presence of U(VI) affects the stability and structure of the Mn oxide to form poorly ordered Mn oxide tunnel structures, similar to todorokite. EXAFS modeling shows that uranyl is present in these oxides predominantly in the tunnels of the Mn oxide structure in a tridentate complex. Observations by XRD corroborate these results. Structural incorporation may lead to more stable U(VI) sequestration that may be suitable for remediation uses. These observations, combined with the very high uptake capacity of the Mn oxides, imply that Mn-oxidizing bacteria may significantly influence dissolved U(VI) concentrations in impacted waters via sorption and incorporation into Mn oxide biominerals.
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Affiliation(s)
- S M Webb
- Stanford Synchrotron Radiation Laboratory, Menlo Park, California 94025, USA.
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29
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Fuller CC, Bargar JR, Davis JA. Molecular-scale characterization of uranium sorption by bone apatite materials for a permeable reactive barrier demonstration. Environ Sci Technol 2003; 37:4642-4649. [PMID: 14594373 DOI: 10.1021/es0343959] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Uranium binding to bone charcoal and bone meal apatite materials was investigated using U L(III)-edge EXAFS spectroscopy and synchrotron source XRD measurements of laboratory batch preparations in the absence and presence of dissolved carbonate. Pelletized bone char apatite recovered from a permeable reactive barrier (PRB) at Fry Canyon, UT, was also studied. EXAFS analyses indicate that U(VI) sorption in the absence of dissolved carbonate occurred by surface complexation of U(VI) for sorbed concentrations < or = 5500 microg U(VI)/g for all materials with the exception of crushed bone char pellets. Either a split or a disordered equatorial oxygen shell was observed, consistent with complexation of uranyl by the apatite surface. A second shell of atoms at a distance of 2.9 A was required to fit the spectra of samples prepared in the presence of dissolved carbonate (4.8 mM total) and is interpreted as formation of ternary carbonate complexes with sorbed U(VI). A U-P distance at 3.5-3.6 A was found for most samples under conditions where uranyl phosphate phases did not form, which is consistent with monodentate coordination of uranyl by phosphate groups in the apatite surface. At sorbed concentrations > or = 5500 microg U(VI)/g in the absence of dissolved carbonate, formation of the uranyl phosphate solid phase, chernikovite, was observed. The presence of dissolved carbonate (4.8 mM total) suppressed the formation of chernikovite, which was not detected even with sorbed U(VI) up to 12,300 microg U(VI)/g in batch samples of bone meal, bone charcoal, and reagent-grade hydroxyapatite. EXAFS spectra of bone char samples recovered from the Fry Canyon PRB were comparable to laboratory samples in the presence of dissolved carbonate where U(VI) sorption occurred by surface complexation. Our findings demonstrate that uranium uptake by bone apatite will probably occur by surface complexation instead of precipitation of uranyl phosphate phases under the groundwater conditions found at many U-contaminated sites.
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Affiliation(s)
- C C Fuller
- U.S. Geological Survey, 345 Middlefield Road, MS 465, Menlo Park, California 94025, USA.
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Fuller CC, Bargar JR, Davis JA, Piana MJ. Mechanisms of uranium interactions with hydroxyapatite: implications for groundwater remediation. Environ Sci Technol 2002; 36:158-165. [PMID: 11827049 DOI: 10.1021/es0108483] [Citation(s) in RCA: 145] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The speciation of U(VI) sorbed to synthetic hydroxyapatite was investigated using a combination of U LIII-edge XAS, synchrotron XRD, batch uptake measurements, and SEM-EDS. The mechanisms of U(VI) removal by apatite were determined in order to evaluate the feasibility of apatite-based in-situ permeable reactive barriers (PRBs). In batch U(VI) uptake experiments with synthetic hydroxyapatite (HA), near complete removal of dissolved uranium (>99.5%) to <0.05 microM was observed over a range of total U(VI) concentrations up to equimolar of the total P in the suspension. XRD and XAS analyses of U(VI)-reacted HA at sorbed concentrations < or = 4,700 ppm U(VI) suggested that uranium(VI) phosphate, hydroxide, and carbonate solids were not present at these concentrations. Fits to EXAFS spectra indicate the presence of Ca neighbors at 3.81 A. U-Ca separation, suggesting that U(VI) adsorbs to the HA surfaces as an inner-sphere complex. Uranium(VI) phosphate solid phases were not detected in HA with 4700 ppm sorbed U(VI) by backscatter SEM or EDS, in agreement with the surface complexation process. In contrast, U(VI) speciation in samples that exceeded 7000 ppm sorbed U(VI) included a crystalline uranium(VI) phosphate solid phase, identified as chernikovite by XRD. At these higher concentrations, a secondary, uranium(VI) phosphate solid was detected by SEM-EDS, consistent with chernikovite precipitation. Autunite formation occurred at total U:P molar ratios > or = 0.2. Our findings provide a basis for evaluating U(VI) sorption mechanisms by commercially available natural apatites for use in development of PRBs for groundwater U(VI) remediation.
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Affiliation(s)
- C C Fuller
- US Geological Survey, Menlo Park, California 94025, USA.
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31
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Kay JT, Conklin MH, Fuller CC, O'Day PA. Processes of nickel and cobalt uptake by a manganese oxide forming sediment in Pinal Creek, Globe mining district, Arizona. Environ Sci Technol 2001; 35:4719-4725. [PMID: 11775144 DOI: 10.1021/es010514d] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
A series of column experiments was conducted using manganese oxide coated sediments collected from the hyporheic zone in Pinal Creek (AZ), a metal-contaminated stream, to study the uptake and retention of Mn, Ni, and Co. Experimental variables included the absence (abiotic) and presence (biotic) of active Mn-oxidizing bacteria, the absence and presence of dissolved Mn, and sediment manganese oxide content. Uptake of Mn under biotic conditions was between 8 and 39% higher than under abiotic conditions. Continuous uptake of Mn due to biotic oxidation was evident from extraction of column sediments. Manganese uptake is hypothesized to initially occur as adsorption, which led to subsequent surface and/or microbial oxidation. Complete breakthrough of Ni within 100 pore volumes indicated no process of continuous uptake and was modeled as an equilibrium adsorption process. Nickel uptake in the presence of dissolved Mn was 67-100% reversible. Sediment extractions suggest that Ni uptake occurred through weak and strong adsorption. Continuous uptake of cobalt increased with sediment manganese oxide content, and Co uptake was up to 75% greater under biotic than abiotic conditions. Cobalt uptake was controlled by both existing and newly formed manganese oxides. Only a small amount of Co uptake was reversible (10-25%). XANES spectral analysis indicated that most Co(II) was oxidized to Co(III) and probably incorporated structurally into manganese oxides. Although manganese oxides were the primary phase controlling uptake and retention of Mn, Ni, and Co, the mechanisms varied among the metals.
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Affiliation(s)
- J T Kay
- Department of Hydrology and Water Resources, University of Arizona, Tucson 85721-0011, USA
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32
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Zhang BP, Johnson WP, Piana MJ, Fuller CC, Naftz DL. Potential artifacts in interpretation of differential breakthrough of colloids and dissolved tracers in the context of transport in a zero-valent iron permeable reactive barrier. Ground Water 2001; 39:831-840. [PMID: 11708449 DOI: 10.1111/j.1745-6584.2001.tb02471.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Many published studies have used visual comparison of the timing of peak breakthrough of colloids versus conservative dissolved tracers (hereafter referred to as dissolved tracers or tracers) in subsurface media to determine whether they are advected differently, and to elucidate the mechanisms of differential advection. This purely visual approach of determining differential advection may have artifacts, however, due to the attachment of colloids to subsurface media. The attachment of colloids to subsurface media may shift the colloidal peak breakthrough to earlier times, causing an apparent "faster" peak breakthrough of colloids relative to dissolve tracers even though the transport velocities for the colloids and the dissolved tracers may actually be equivalent. In this paper, a peak shift analysis was presented to illustrate the artifacts associated with the purely visual approach in determining differential advection, and to quantify the peak shift due to colloid attachment. This peak shift analysis was described within the context of microsphere and bromide transport within a zero-valent iron (ZVI) permeable reactive barrier (PRB) located in Fry Canyon, Utah. Application of the peak shift analysis to the field microsphere and bromide breakthrough data indicated that differential advection of the microspheres relative to the bromide occurred in the monitoring wells closest to the injection well in the PRB. It was hypothesized that the physical heterogeneity at the grain scale, presumably arising from differences in inter- versus intra-particle porosity, contributed to the differential advection of the microspheres versus the bromide in the PRB. The relative breakthrough (RB) of microspheres at different wells was inversely related to the ionic strength of ground water at these wells, in agreement with numerous studies showing that colloid attachment is directly related to solution ionic strength.
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Affiliation(s)
- B P Zhang
- University of Utah, Department of Geology and Geophysics, Salt Lake City 84112, USA
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33
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Fuller CC, Hartley B. Linear scleroderma: a Neuman nursing perspective. J Pediatr Nurs 2000; 15:168-74. [PMID: 10897554 DOI: 10.1053/jn.2000.6022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Although quite a rare pediatric disease, linear scleroderma (LS), a chronic disease, may leave scarring and may have devastating effects on a child and family. This article provides an overview of the disease, presents a case history of a boy with LS, and discusses how nurses and other health-team members assisted the child and family in managing the illness. The description of the nursing care is based on the Neuman systems model and on the nursing diagnoses of fear, disturbed self-concept, and impaired physical mobility.
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Affiliation(s)
- C C Fuller
- Rheumatology Department, Hospital for Sick Children, Toronto, Canada
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Abstract
Juvenile arthritis is the fifth most common chronic illness in children. When a child is diagnosed with juvenile arthritis, the family must adjust in many ways in order to cope with the demands of this illness. This article provides an overview of the disease, presents the case history of two sisters with polyarticular arthritis, and discusses how nurses and other health team members can empower a family to manage more successfully with this disease and thereby enhance quality of life. Professional resources that aid families coping including educating the family about the disease, providing psychologic support, as well as knowledge and assistance for optimal physical functioning and maintaining energy reserves, and suggesting strategies to sustain self esteem, motivation and hope.
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Affiliation(s)
- B Hartley
- Rheumatology Clinics, Hospital for Sick Children, Toronto, Ontario, Canada
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35
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Fuller CC, Reed LJ, Oliver RM, Hackert ML. Crystallization of a dihydrolipoyl transacetylase--dihydrolipoyl dehydrogenase subcomplex and its implications regarding the subunit structure of the pyruvate dehydrogenase complex from Escherichia coli. Biochem Biophys Res Commun 1979; 90:431-8. [PMID: 389239 DOI: 10.1016/0006-291x(79)91253-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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36
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Fuller CC, Arst HE, Williams RD, Spelman AE. Intrathoracic chemodectoma. Mo Med 1967; 64:756-9. [PMID: 4294624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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